Estimation of Soil Water Content in Winter Wheat Field at Jointing Stage Using Multi-Source Features and Machine Learning
融合WCM物理特征与多源遥感，用机器学习估算冬小麦拔节期土壤含水量。
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#机器学习
Integrating machine learning and geospatial technologies for spatio-temporal analysis of urban expansion and land use transformation in Gambella Town, Ethiopia
用机器学习与遥感分析埃塞俄比亚甘贝拉镇2005-2025年城市扩张与土地利用变化。
Architecture diverse TabNet ensemble for crop type classification using harmonized multisource soil data（基于多源土壤数据融合的架构多样性TabNet集成作物类型分类）
构建架构多样性TabNet集成，用多源土壤数据分类7类作物。
Artificial intelligence in food safety: a bibliometric and empirical synthesis of emerging technologies and research frontiers
对2021-2025年2782篇文献做文献计量，梳理AI与食品安全交叉研究趋势。
Spatial Heterogeneity and Nonlinear Environmental Associations of Positive Climatic Moisture Deficit with Implications for Sustainable Water Resource Assessment: A Case Study of Anyang
以安阳为例，用XGBoost-SHAP分析2000—2020年气候水分亏缺的空间异质性及其环境关联。
MACHINE LEARNING BASED PREDICTION OF HYDROGEOLOGICAL PARAMETERS AND GROUNDWATER POTENTIAL INDEX USING GEOSPATIAL AND BOREHOLE DATA
提出融合地理空间与钻孔数据的机器学习框架，预测水文地质参数与地下水潜力指数。
Synergistic Use of Multitemporal SAR and Optical Data with Random Forest Approach for Rice Mapping in Bangladesh
融合Sentinel-1 SAR与Sentinel-2光学影像，用随机森林在GEE上绘制孟加拉国Bo
A growing challenge: stakeholder perceptions of AI and ML applications in U.S. agriculture
通过问卷与访谈调查美国农业利益相关者对AI/ML应用的认知与障碍。
Cotton pest and disease multi-class classification with weather and temporal predictors features across Indian agroclimatic zones
用农业气象变量与时间特征构建机器学习模型，实现印度棉区棉铃虫多级发生预测。
Spatial Modeling of Topsoil Total Carbon and Texture from Spectral Characteristics of Bare Soil Surface Images of Landsat 5/8 Using Machine Learning
用Landsat 5/8裸土光谱指数识别裸土并机器学习建模表层土壤质地与全碳。
Driving forces of contemporary wildfire severity in the American Southwest: a remote sensing and machine learning case study in Arizona, USA
用遥感与随机森林分析亚利桑那45场野火，识别火前植被水分等驱动因子。
ระบบพยากรณและเฝาระวงคณภาพนำอจฉรยะตามดชนคณภาพนำ ดวยเทคนคการเรยนรของเครองและอนเทอรเนตของสรรพสง
利用物联网与机器学习构建水质预测监测系统，提前1-6小时预测rWQI。
The international archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences·10月12日 · 周一72 分 论文智慧农业 / 农业物联网阅读 0
Mapping Fuel Categories in Mediterranean Regions with Sentinel-2 and PlanetScope Satellite Acquisitions
融合Sentinel-2时序与PlanetScope高分影像，用XGBoost绘制地中海9类可燃物类
Climate policy uncertainty and domestic–international grain-market risk spillovers: a TVP-VAR-BK analysis with machine learning early warning
用TVP-VAR-BK与机器学习分析气候政策不确定性对中外粮食市场风险溢出的动态影响。
Use of artificial intelligence and other data-driven technologies for coastal management
综述人工智能与数据驱动技术在海岸带管理中的应用，并指出未来方向。
Machine Learning-based Prediction of SVI Parameter in Maize: A Comparative Study and Feature Importance Analysis
用四种机器学习模型基于39个玉米基因型盐胁迫发芽数据预测幼苗活力指数SVI。
Groundwater Potential Mapping in Northwestern Nigeria: A Comparison of the Analytic Hierarchy Process and Galileo-Enhanced CAT-XGB
对比专家驱动AHP与遥感基础模型增强的CAT-XGB集成，用于尼日利亚西北部地下水潜力制图。
International Journal of Engineering Research and Science & Technology·10月8日 · 周四77 分 论文智慧农业 / 农业物联网阅读 0
CONNECTING FLOODWATER, RAINFALL AND RESERVOIR DATA TO INTELLIGENT WATER REDISTRIBUTION FOR DROUGHT-RESILIENT RESOURCE MANAGEMENT - (AQUA RESCUE)
构建Aqua Rescue数据管道与决策系统，将洪水、降雨和水库数据整合，优化调水以缓解干旱。
A review of remote sensing for agricultural drought: technologies, indices, modelling advances and future prospects
系统综述2015-2025年遥感农业干旱监测与预测的传感器、指数、建模及验证进展。
Comparative analysis of gradient boosting and random forest regressors for nutrient prediction in smart agriculture
比较梯度提升与随机森林回归器，用水培传感器数据预测氮磷钾浓度。
Socio‐Economic Impact of Sustainable Development of Water Resources in the Semi‐Arid Regions of Village Raleras, Maharashtra: A Case Study Using Machine Learning Techniques
用机器学习评估印度半干旱村庄水资源可持续开发对农村生计的社会经济影响。
Predicting water quality in mine-affected environments: A hyperspectral remote sensing study in the Iberian pyrite Belt
用无人机高光谱与机器学习反演矿区酸性废水pH、硫酸盐和铁浓度。
Precision Agriculture in Maize Production Systematic Review 2026·10月9日 · 周五74 分 论文玉米智慧农业 / 农业物联网阅读 2
玉米生产精准农业系统综述：技术、应用与产量优化（2020—2026）
系统综述2020—2026年玉米精准农业技术、应用与产量优化研究。
Microbiomes of soils and leafy vegetables in urban agriculture systems reflect crop management and local environmental conditions
研究城市农业中土壤与叶菜微生物组如何受管理措施和局地环境影响。
Evaluation of risk scenarios in Ecuador using Visible Infrared Imaging Radiometer Suite remote sensing, ERA5-Land climate data, and XGBoost
结合VIIRS热异常、ERA5-Land气象数据与XGBoost，构建厄瓜多尔5公里分辨率森林火灾风
Land Use Change, Flood Exposure, and Vegetation Stress in the Chi River Basin, Northeast Thailand: A Multi-Temporal Remote Sensing and Machine Learning Assessment
用多时相遥感和机器学习评估泰国栖河流域土地利用变化、洪水暴露与植被胁迫的关系。
Machine-learning modelling of regional landslide susceptibility in eThekwini, South Africa
用随机森林与支持向量机评估南非eThekwini地区滑坡易发性并分析住房风险。
Cross-Regional Digital Soil Mapping of OpenLandMap-Derived USDA Soil Texture Classes Using Remote Sensing and Machine Learning
用Landsat光谱与地形特征结合集成学习，实现马来西亚与巴基斯坦跨区域USDA土壤质地分类。
GIS, Remote Sensing and Machine Learning Applications for Forest Fire Mapping, Susceptibility Assessment and Risk Analysis: A Systematic Review
GIS, Remote Sensing and Machine Learning Applications for Forest Fire Mapping, Susceptibility Assessment and Risk Analysis: A Systematic Review。Research Square
The effect of train-test data splitting ratio on yield prediction from multispectral UAV imagery: effective reduction of training ratio with algorithm selection for single- and multi-date models
研究不同训练-测试数据划分比例对无人机多光谱小麦产量预测的影响，发现可降低训练比例。
Applications of Artificial Intelligence in Soil Characterization and Agriculture: A Systematic Review
系统综述2018-2026年196项AI用于土壤特性与农业的研究。
Impervious Surface Classification Using Artificial Intelligence from Remote Sensing Imagery, Part I: Evaluation of Machine Learning Algorithms
用Landsat与Sentinel-2影像和三种机器学习算法自动分类胡志明市不透水面并监测15年变化
International Journal of Emerging Trends in Engineering and Development·10月2日 · 周五61 分 论文农业AI与大模型农业遥感与作物表型2 个信源同时报道 阅读 2
Comparative Performance of Machine Learning and Deep Learning Algorithms for Agricultural Land Mapping in Anambra State, Nigeria
比较RF、SVM、ANN、CNN在尼日利亚农业用地制图中的表现
Integrated machine learning and AHP-based framework for spatial delineation of rainwater harvesting potential
结合GIS、AHP与多种机器学习算法，划分印度斋浦尔半干旱区雨水收集适宜性分区。
Machine learning reveals distinct drivers of soil organic carbon across the mountain-oasis-desert system of northwest China
构建基于生态系统的机器学习框架，预测西北荒漠-绿洲-山地系统土壤有机碳并识别各子系统驱动因子。
A machine learning framework for predicting potential urban cool island locations using Landsat 9 data: a case study of Oued Zenati, Algeria
用遥感与可解释机器学习预测阿尔及利亚半干旱城市潜在城市冷岛位置。
Integrating multi-sensor optical and SAR data with machine learning ensembles for chickpea area estimation in the Krishna zone of Andhra Pradesh
融合光学与SAR多时相数据，用机器学习集成分类器估算安得拉邦鹰嘴豆种植面积。
Investigating climate-phenology relationships among the most common Italian forest species using Sentinel-2-derived vegetation phenology and productivity products
利用Sentinel-2物候与生产力产品，结合随机森林和SHAP，分析意大利主要森林物种的气候-物候
The impact of rural population shrinkage on cultivated land non-grain conversion—dual causal inference based on machine learning
基于中国257个地级市数据，用双机器学习等方法研究农村人口收缩对耕地非粮化的影响。
Interpretable machine learning reveals threshold effects of blue mussel (Mytilus edulis) fouling on the hydrodynamic response of the marine aquaculture netting
用可解释机器学习揭示蓝贻贝污损对海水养殖网箱水动力响应的阈值效应。
Meteorological to agricultural drought propagation and vegetation response across China
量化中国气象干旱向农业干旱的传播及植被滞后响应。
Risk-based prioritization of official animal welfare inspections using machine learning
用机器学习基于常规行政与兽医数据，对奥地利农场动物福利违规风险进行优先级排序。
Hyperspectral inversion of soil total nitrogen content using spectral and machine learning
用高光谱与机器学习反演陕北农牧交错带农田土壤全氮含量。
International Journal of Engineering Technology Research & Management·12月21日 · 周一34 分 论文数字农业与前沿技术农业人工智能与决策模型阅读 2
PRECISION AGRICULTURE ANALYTICS USING UAV MULTISPECTRAL IMAGING AND MACHINE LEARNING FOR CROP STRESS DETECTION AND YIELD OPTIMIZATION MODELS
利用无人机多光谱影像与机器学习进行作物胁迫检测和产量优化建模。
Species identification of crops and weeds in wheat fields using hyperspectral data and machine learning algorithms
利用高光谱数据与随机森林识别哈萨克斯坦东北部麦田作物与杂草，并分析误判的生物学原因。
Current breakthroughs in biomass and carbon modelling of rubber plantations: A bibliometric analysis and literature review
综述橡胶林生物量与碳建模研究进展，指出机器学习与深度学习精度最高但标准化和区域数据仍不足。
Evaluating Reference Evapotranspiration and Soil Moisture as Predictors for Machine Learning-Based Actual Evapotranspiration Estimation: Model Performance and Explainability
评估ET0与土壤湿度对机器学习估算实际蒸散的影响及可解释性。
Integrating Vegetation Health Indices and Machine Learning for Early Prediction of Agricultural Drought
基于多源遥感与机器学习构建尼日利亚萨赫勒地区农业干旱早期预测框架。
A stocktake of opportunities and knowledge gaps in advancing digital agriculture in Quebec
系统盘点魁北克数字农业技术应用及其对可持续发展的贡献与知识空白。
Assessing Land Use, Land Cover Changes, and Urbanization Impacts on Water Stress in West African Watersheds: A Systematic Methodological Review
系统综述西非流域土地利用变化与城市化对水资源压力的评估方法。
Automated pavement marking retroreflectivity estimation via computer vision and machine learning
用手机RGB视频和机器学习预测路面标线逆反射率，无需专用传感器。
A Hybrid Model for Crop Yield Prediction Using Recurrent Neural Networks and Explainable Artificial Intelligence
用LSTM结合可解释AI预测肯尼亚玉米产量，兼顾精度与透明度。
Revista de teledetección: Revista de la Asociación Española de Teledetección·9月25日 · 周五72 分 论文农业AI与大模型农业人工智能与决策模型阅读 2
Interpretable multi-index framework for extracting dry-season built-up areas: benchmarking machine learning with Sentinel-2
提出可解释多指数规则框架，用Sentinel-2提取旱季建成区，性能优于机器学习。
GIS and Machine Learning Framework for Landslide Susceptibility Mapping: A Raster-Based Approach
提出GIS集成、基于栅格像元的机器学习框架，生成连续滑坡易发性图。
Journal of Geography Environment and Earth Science International·9月25日 · 周五67 分 论文遥感与农情监测农业遥感与作物表型阅读 4
Spatial Estimation of Carbon Sequestration Using Remote Sensing and Its Application in Carbon-credit Assessment: A Comprehensive Review
综述遥感碳储量估算技术及其在碳信用评估中的应用与挑战。
Advances and gaps in mitigation and management practices across critical landscapes and scales
综述环境减缓与管理实践进展，指出成效高度依赖情境且存在实施缺口。
Functional photonic and optoelectronic materials and devices for climate-resilient smart agriculture: a review
综述光子与光电子材料器件结合物联网和机器学习，支撑气候韧性智慧农业的作物与土壤监测。
Approaches to forecast soil nutrient dynamics for precision agriculture and sustainable fertiliser management: A review
综述土壤养分动态预测的统计与机器学习方法，比较精度与局限。
Tillage Practice Discrimination Using High-Resolution PlanetScope and Sentinel-2 Imagery
对比PlanetScope与Sentinel-2影像，用随机森林区分冬春两季的集约与保护性耕作。
Rice Cropping Pattern Mapping Using GEE-Based Sentinel-1/2 Time-Series Imagery and Machine Learning
基于GEE融合Sentinel-1/2时序与地形特征，用机器学习高精度制图长三角水稻种植模式。
Detection of Red Crown Rot of Soybean in Illinois Fields Using High-Resolution Satellite Imagery and Machine Learning
利用高分辨率卫星影像和机器学习在大豆田中检测红冠腐病。
Understanding Land Use/Land Cover Dynamics and Land Surface Temperature Variations Through Machine Learning and Geospatial Approach: A Case Study of Kullu District, Himachal Pradesh, India
用机器学习与遥感分析印度库鲁区1991-2022年土地利用变化及其对地表温度的影响。
Integrated Assessment of Soil Erosion Drivers Using RUSLE, Remote Sensing, and Scenario-Based Machine Learning in a Data-Scarce Watershed of the Chota Nagpur Plateau, Eastern India
结合RUSLE、遥感与情景机器学习，评估印度Chota Nagpur高原缺数据流域的土壤侵蚀驱动因素
Yield ranking of spring wheat breeding lines absent from model training within two contrasting seasons in northern Kazakhstan
评估春小麦育种品系产量模型在未参与训练品系上的跨季预测能力。
Machine Learning for Surface Water Quality Management in Malaysia: Integrating Physicochemical Parameters, Nutrient Loads, Land Use, Hydrological Conditions, and Anthropogenic Pressure
构建马来西亚地表水质机器学习框架，融合多源环境数据实现分类、预测与污染事件检测。
Research on the optimal modeling path for inversion of Pb content in rice leaves based on hyperspectral data of ground objects and machine learning and cross-scale remote sensing monitoring
研究基于地面高光谱与机器学习反演水稻叶片铅含量，并探索跨尺度遥感监测的最优建模路径。
Zenodo (CERN European Organization for Nuclear Research)·9月22日 · 周二78 分 论文农业AI与大模型智慧农业 / 农业物联网2 个信源同时报道 阅读 2
A Systematic Study of Supervised and Ensemble Learning Approaches for Crop Selection in Smart Agriculture
系统综述2016-2026年24项作物推荐研究，比较四类机器学习方法并指出基准精度已趋饱和。
Machine learning models combined with feature importance methods for honey yield classification: A replicable approach
构建可复现工作流，用气候变量与机器学习分类蜂蜜产量。
Crop recommendation in precision agriculture: a systematic literature review of methods, trends, and challenges（精准农业中的作物推荐：方法、趋势与挑战系统综述）
系统综述129篇2020-2026年文献，梳理精准农业作物推荐的方法、趋势与挑战。
YieldVision: Model-Driven Decision Support System for Crop Yield Prediction
提出YieldVision决策支持系统，用RF、LSTM及混合模型预测作物产量并部署应用。
Geostatistics and Spatial Modelling in Soil Science: A Critical Appraisal of Methods, Advantages, Inconveniences and Applications
综述地统计学与混合空间建模在土壤科学中的方法、优势、局限及应用，指出其与机器学习融合是未来方向。
Temporal trend analysis and multi-temporal satellite feature integration for mango orchard acreage estimation using machine learning algorithms approach
融合多时相Sentinel-1/2与机器学习，估算印度芒果园面积并分析23年种植趋势。
International Journal for Research in Applied Science and Engineering Technology·9月21日 · 周一63 分 论文智慧农业 / 农业物联网阅读 4
Determination of Water Stress in Okra Plants Using Canopy Temperature Measurement by Infrared Thermometer
用红外测温仪测秋葵冠层温度并结合随机森林，实现水分胁迫的早期无损分类。
International Journal of Science Engineering and Technology·9月21日 · 周一70 分 论文农业AI与大模型智慧农业 / 农业物联网2 个信源同时报道 阅读 3
Influence of Sound Frequencies on Plant Growth and Physiological Development
构建声频刺激植物生长实验框架，分析不同频率对生理指标的影响并推荐最优频率。
Non-destructive nitrogen estimation in pastures from UAV multispectral imagery using a heterogeneity-driven machine-learning framework
Non-destructive nitrogen estimation in pastures from UAV multispectral imagery using a heterogeneity-driven machine-learning framework。Precision Agriculture
Research on the Inversion Method of Total Phosphorus Concentration in Water Bodies Based on PSO-Adam-BP Neural Network Model
用PSO-Adam-BP神经网络结合Sentinel-2影像反演白洋淀总磷浓度。
Forecasting cocoa export volumes in Indonesia using remote sensing, climate variability, and economic indicators: A comparative modeling approach
融合遥感、气候与经济指标，比较多种模型预测印尼可可出口量，XGBoost表现最佳。
International Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer Engineering·9月18日 · 周五72 分 论文水资源与灌溉智慧农业 / 农业物联网阅读 2
An artificial intelligence-based stacking ensemble framework for smart irrigation pump control using IoT sensor data
提出基于堆叠集成学习的灌溉泵ON/OFF预测框架，用物联网传感器数据实现智能灌溉控制。
Spatial and Temporal characteristics and driving force analysis of vegetation cover change in Shanxi Province, China based on kNDVI and XGBoost-SHAP model
基于kNDVI与XGBoost-SHAP分析山西2000-2024年植被覆盖时空变化及驱动机制。
From surveillance to intelligence: a scoping review of machine learning for antimicrobial resistance surveillance intelligence across One Health
综述机器学习在One Health抗微生物耐药监测情报中的应用与成熟度。
UAV无人机高光谱图像土壤盐度制图(湿度校正)——MDPI Agronomy
用无人机高光谱结合Stacking集成模型实现湿度干扰下的土壤盐度制图。
A Novel Data-Driven Framework for Stubble Burning Detection Using NASA FIRMS and Machine Learning
提出基于NASA FIRMS与机器学习的数据驱动框架，用于检测秸秆焚烧。
Volatile Fingerprinting Empowers Salinity Monitoring in Peppermint Using MOS Sensors and Feature-Optimized Machine Learning
用低成本MOS传感器阵列采集薄荷VOC指纹，结合特征优化机器学习实现盐胁迫检测。
Advanced olive leaf area prediction using machine learning methods
用机器学习基于叶长宽非破坏性预测30个橄榄品种叶面积，PSO优化ANN精度最高。
Integrating multi-source data and support vector machine to assess the spatio-temporal pattern of land degradation in the Eastern Cape of South Africa
用Landsat与SVM评估南非Keiskamma流域2005-2025年土地退化时空格局。
Forest encroachment prediction using multi-temporal satellite data and machine learning: a case study of Bandipur National Park, India
用多时相Sentinel-2影像和机器学习预测印度Bandipur国家公园的森林侵占。
Annual Gridded Anthropogenic CH4 Emissions Estimation in China (2019–2025) Integrating Multisource Data: SHAP-Based Driver Attribution and Spatio-Temporal Patterns
融合多源数据与机器学习构建中国2019-2025年0.1°人为甲烷排放网格，并用SHAP解析驱动机制
Application of Remote Sensing and Machine Learning in Sustainable Agriculture
综述遥感与机器学习在可持续农业中的应用现状与前景。
Retrieval of Optically Active and Inactive Water Quality Parameters Using Remote Sensing and Machine Learning: Evidence from Water Hyacinth-Infested Lake Tana, Ethiopia
用Sentinel-2与机器学习反演埃塞俄比亚塔纳湖四类水质参数并分析时空变化。
INTERNATIONAL JOURNAL OF HUMANITIES AND LEARNING TECHNOLOGY INNOVATION (IJHLT)·9月15日 · 周二72 分 论文农业AI与大模型智慧农业 / 农业物联网阅读 2
ARTIFICIAL INTELLIGENCE IN HIGHER EDUCATION: TRANSFORMING TEACHING, LEARNING, AND STUDENT ENGAGEMENT
提出融合物联网传感与随机森林的智能灌溉系统，实现数据驱动的自动灌溉控制。
Effects of Noise on the Accuracy of Estimating Rootzone Total Soil Moisture Using a Non‐Linear Autoregressive Exogenous Machine Learning Model for Precision Agriculture
该论文评估了测量噪声对NARX机器学习模型估算根区土壤水分动态精度的影响。
International Journal of Computer Science and Artificial Intelligence·9月14日 · 周一0 分 论文农业AI与大模型农业人工智能与决策模型阅读 3
Artificial Intelligence, Machine Learning, and Deep Learning Concepts, Methods, and Real-World Impact
系统综述AI、机器学习与深度学习的概念、方法、应用及伦理挑战。
Mapping Native Grass Cover with Random Forest Models: Sentinel-2 Versus Sentinel-2 Combined with Sentinel-1 SAR-Derived GLCM Texture Metrics
用随机森林结合Sentinel-2与Sentinel-1纹理特征，绘制澳洲原生草地C3/C4草覆盖度
Mining Externalities and Climate-Smart Agriculture Portfolios: Evidence from Mining-Affected Communities in Ghana
研究加纳矿区农户气候智慧型农业组合的广度与构成，发现采矿压力与CSA组合无统一关系。
Mapping urban expansion and land transformation in Dhaka, Bangladesh by fusing night-time lights, thermal, and spectral data via machine learning approaches
融合夜间灯光、热红外与光谱数据，用机器学习精准监测达卡2016-2024年城市扩张与土地转化。
Machine Learning-Based Prediction of Soil Moisture in Sikkim's High-Rainfall Zones Using Multimodal Remote Sensing Data
用多模态遥感与机器学习预测印度锡金高降雨区表层土壤水分。
Hierarchical spectral ensemble with physics-informed augmentation for global water quality retrieval from hyperspectral remote sensing
提出分层光谱集成模型HSE，从高光谱遥感反射率中全球尺度反演四种水质参数。
Pollution-driven surface water quality improvement and expanding population benefits in karst regions of China
用遥感与机器学习评估中国喀斯特地区地表水水质长期变化及受益人口。
An optimized machine learning approach for reliable agronomic parameter prediction in precision farming systems
提出优化机器学习框架，用土壤环境数据预测农艺参数并分类菠菜生长阶段。
Spatio-temporal characteristics and driving factor identification of precipitation use efficiency: Based on machine learning and SHAP analysis
基于多源遥感与可解释机器学习，揭示东北寒区降水利用效率时空特征及驱动因子。